At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.
Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.
About Team and Role:
The Payment Ops Tech team is looking for a Senior Engineer to drive the technical execution of eBay’s global Compliance Operations platform. This platform is the backbone of our regulatory strategy, powering critical systems for KYC, AML, Sanctions Screening, Product Safety & Tax compliance. In this role, you will take end-to-end ownership of major features—from initial design and prototyping to deployment and site-wide upgrades. You will build scalable, resilient distributed applications, while collaborating with AI teams to integrate ML models into production. As a key technical contributor, you will champion code quality through TDD and thoughtful code reviews, while mentoring junior developers to foster a culture of engineering excellence. If you are a seasoned Java expert who thrives on solving complex backend challenges and building secure, high-performance systems, we want to hear from you.
Responsibilities
- Own projects and major features end-to-end with minimal direction, from design through implementation, testing, deployment, and monitoring.
- Develop scalable and resilient distributed software applications, including APIs, event processing, and batch jobs.
- Write automated tests (unit, integration, and E2E) to ensure high code quality.
- Conceptualize and code innovative prototypes through continuous integration and delivery.
- Support software releases and site-wide upgrades to enforce security and latest patches.
- Review code and provide thoughtful feedback to ensure maintainable and consistent implementations.
Qualifications
- Master’s degree in Computer Science (or related) with 2+ years of experience; OR a Bachelor’s degree with 5+ years of relevant experience. (Educational background in Machine Learning is a plus).
- 5+ years of practical experience designing and developing distributed systems.
- Proficiency in Java 17+, Spring Framework, and Spring Boot.
- Solid understanding of Spring Batch, OOP, and Data Structures & Algorithms.
- Working knowledge of Microservices architecture and cloud-native design patterns.
- Proven experience in high-throughput Event Processing systems (Kafka, JMS, or MQ) and Relational/NoSQL databases.
- Proven experience building and maintaining RESTful APIs (Jersey, Spring MVC, etc.).
- 1–2 years of experience contributing to or integrating ML models into production.
- Active practitioner of Agile and DevOps practices, including CI/CD and TDD (JUnit, Mockito).
- Familiarity with Cloud infrastructure (AWS/Azure/GCP) and containerization.
- Experience supporting production systems, including incident response, troubleshooting, root cause analysis, and improving service reliability.
- Strong triaging skills for diagnosing, prioritizing, and coordinating resolution of production issues across distributed services.
- Experience mentoring junior developers and performing thorough code reviews.
- Strong communication skills to collaborate effectively with product and data science teams.
Additional Details
eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at [email protected]. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice, Privacy Center, and AI Hiring Guidelines.
Skills Required
- Master’s degree in Computer Science or a related field with 2+ years of experience, or Bachelor’s degree with 5+ years of relevant experience
- 5+ years of experience designing and developing distributed systems
- Proficiency in Java 17+, Spring Framework, and Spring Boot
- Understanding of Spring Batch, object-oriented programming, and data structures and algorithms
- Working knowledge of microservices architecture and cloud-native design patterns
- Experience with high-throughput event-processing systems such as Kafka, JMS, or MQ
- Experience with relational and NoSQL databases
- Experience building and maintaining RESTful APIs, including Jersey or Spring MVC
- 1–2 years of experience contributing to or integrating machine-learning models into production
- Experience with Agile and DevOps practices, including CI/CD and TDD
- Experience with JUnit and Mockito
- Familiarity with AWS, Azure, or GCP cloud infrastructure and containerization
- Experience supporting production systems, including incident response, troubleshooting, root cause analysis, and service reliability improvements
- Strong triaging skills for diagnosing, prioritizing, and coordinating resolution of production issues across distributed services
- Experience mentoring junior developers and conducting thorough code reviews
- Strong communication skills for collaboration with product and data science teams
- Educational background in Machine Learning
eBay Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about eBay and has not been reviewed or approved by eBay.
-
Healthcare Strength — Medical, dental, and vision coverage begin on the date of hire, complemented by mental health resources, an EAP, disability coverage, FSAs, and wellness initiatives.
-
Leave & Time Off Breadth — A robust mix of PTO, paid holidays, flexible work styles, parental leave, and a four‑week paid sabbatical after five years supports work‑life balance.
-
Equity Value & Accessibility — Total compensation commonly includes stock components, with access to an employee stock purchase plan at a discount and stock awards enhancing overall packages.
eBay Insights
What We Do
eBay Inc. is a global commerce leader that connects millions of buyers and sellers around the world. We exist to enable economic opportunity for individuals, entrepreneurs, businesses and organizations of all sizes. Our portfolio of brands includes eBay Marketplace and eBay Classifieds Group, operating in 190 markets around the world. We offer sellers the ability to grow a business with little barrier to entry regardless of size, background or geographic location. We never compete with our sellers. We win when our sellers succeed. Buyers who shop on our Marketplace and Classifieds platforms enjoy a highly personalized experience with an unparalleled selection at great value.
